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McMurry S, Moeller AK, Goerz J, Robinson HS. Using space to event modeling to estimate density of multiple species in northeastern Washington. WILDLIFE SOC B 2022. [DOI: 10.1002/wsb.1390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Affiliation(s)
- Sierra McMurry
- Wildlife Biology Program, Department of Ecosystem and Conservation Sciences, W.A. Franke College of Forestry and Conservation University of Montana 32 Campus Drive Missoula MT 59812 USA
| | - Anna K. Moeller
- Wildlife Biology Program, Department of Ecosystem and Conservation Sciences, W.A. Franke College of Forestry and Conservation University of Montana 32 Campus Drive Missoula MT 59812 USA
| | - James Goerz
- Wildlife Biology Program, Department of Ecosystem and Conservation Sciences, W.A. Franke College of Forestry and Conservation University of Montana 32 Campus Drive Missoula MT 59812 USA
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2
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Jarrett C, Haydon DT, Morales JM, Ferreira DF, Forzi FA, Welch AJ, Powell LL, Matthiopoulos J. Integration of mark-recapture and acoustic detections for unbiased population estimation in animal communities. Ecology 2022; 103:e3769. [PMID: 35620844 PMCID: PMC9787363 DOI: 10.1002/ecy.3769] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 04/15/2022] [Accepted: 04/21/2022] [Indexed: 12/30/2022]
Abstract
Abundance estimation methods that combine several types of data are becoming increasingly common because they yield more accurate and precise parameter estimates and predictions than are possible from a single data source. These beneficial effects result from increasing sample size (through data pooling) and complementarity between different data types. Here, we test whether integrating mark-recapture data with passive acoustic detections into a joint likelihood improves estimates of population size in a multi-guild community. We compared the integrated model to a mark-recapture-only model using simulated data first and then using a data set of mist-net captures and acoustic recordings from an Afrotropical agroforest bird community. The integrated model with simulated data improved accuracy and precision of estimated population size and detection parameters. When applied to field data, the integrated model was able to produce, for each bird guild, ecologically plausible estimates of population size and detection parameters, with more precision compared with the mark-recapture model. Overall, our results show that adding acoustic data to mark-recapture analyses improves estimates of population size. With the increasing availability of acoustic recording devices, this data collection technique could readily be added to routine field protocols, leading to a cost-efficient improvement of traditional mark-recapture population estimation.
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Affiliation(s)
- Crinan Jarrett
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical Veterinary and Life SciencesUniversity of GlasgowGlasgowUK,Biodiversity InitiativeBelmontMassachusettsUSA
| | - Daniel T. Haydon
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical Veterinary and Life SciencesUniversity of GlasgowGlasgowUK
| | - Juan M. Morales
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical Veterinary and Life SciencesUniversity of GlasgowGlasgowUK,Grupo de Ecología Cuantitativa, INIBIOMA‐CONICETUniversidad Nacional del ComahueBarilocheArgentina
| | - Diogo F. Ferreira
- Biodiversity InitiativeBelmontMassachusettsUSA,CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de VairãoUniversidade do PortoVairãoPortugal,BIOPOLIS Program in Genomics, Biodiversity and Land PlanningCIBIOVairãoPortugal
| | | | - Andreanna J. Welch
- Biodiversity InitiativeBelmontMassachusettsUSA,Department of BiosciencesDurham UniversityDurhamUK
| | - Luke L. Powell
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical Veterinary and Life SciencesUniversity of GlasgowGlasgowUK,Biodiversity InitiativeBelmontMassachusettsUSA,CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de VairãoUniversidade do PortoVairãoPortugal,BIOPOLIS Program in Genomics, Biodiversity and Land PlanningCIBIOVairãoPortugal,Department of BiosciencesDurham UniversityDurhamUK
| | - Jason Matthiopoulos
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical Veterinary and Life SciencesUniversity of GlasgowGlasgowUK
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3
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Schmidt JH, Thompson WL, Wilson TL, Reynolds JH. Distance sampling surveys: using components of detection and total error to select among approaches. WILDLIFE MONOGRAPHS 2022. [DOI: 10.1002/wmon.1070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Joshua H. Schmidt
- U.S. National Park Service Central Alaska Network 4175 Geist Road Fairbanks AK 99709 USA
| | | | - Tammy L. Wilson
- U.S. National Park Service, Southwest Alaska Network 240 W. 5th Avenue Anchorage AK 99501 USA
| | - Joel H. Reynolds
- U.S. National Park Service 240 W. 5th Avenue Anchorage AK 99501 USA
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4
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Hinton JW, Wheat RE, Schuette P, Hurst JE, Kramer DW, Stickles JH, Frair JL. Challenges and opportunities for estimating abundance of a low‐density moose population. J Wildl Manage 2022. [DOI: 10.1002/jwmg.22213] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Joseph W. Hinton
- Department of Environmental and Forest Biology State University of New York College of Environmental Science and Forestry 1 Forestry Drive Syracuse NY 13210 USA
| | - Rachel E. Wheat
- Wildlife Division, Oregon Department of Fish and Wildlife 4034 Fairview Industrial Drive SE Salem OR 97302 USA
| | - Paul Schuette
- Marine Mammals Management, United States Fish and Wildlife Service 1011 E. Tudor Rd Anchorage AK 99503 USA
| | - Jeremy E. Hurst
- Division of Fish, Wildlife, and Marine Resources, New York State Department of Environmental Conservation 625 Broadway Albany NY 12233 USA
| | - David W. Kramer
- Division of Fish, Wildlife, and Marine Resources, New York State Department of Environmental Conservation 625 Broadway Albany NY 12233 USA
| | - James H. Stickles
- Division of Fish, Wildlife, and Marine Resources, New York State Department of Environmental Conservation 625 Broadway Albany NY 12233 USA
| | - Jacqueline L. Frair
- Roosevelt Wild Life Station, State University of New York College of Environmental Science and Forestry 1 Forestry Drive Syracuse NY 13210 USA
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5
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Koitzsch KB, Anton CB, Koitzsch LO, Tjepkes TL, Schumann AC, Strasburg JL. A noninvasive and integrative approach for improving density and abundance estimates of moose. J Wildl Manage 2022. [DOI: 10.1002/jwmg.22200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
| | - Colby B. Anton
- Yellowstone Center for Resources, National Park Service Yellowstone National Park WY 82190 USA
| | | | - Tessa L. Tjepkes
- Department of Biology University of Minnesota‐Duluth 207 Swenson Science Building, 1035 Kirby Drive Duluth MN 55812 USA
| | - Abby C. Schumann
- Department of Biology University of Minnesota‐Duluth 207 Swenson Science Building, 1035 Kirby Drive Duluth MN 55812 USA
| | - Jared L. Strasburg
- Department of Biology University of Minnesota‐Duluth 207 Swenson Science Building, 1035 Kirby Drive Duluth MN 55812 USA
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6
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Becker M, Huggard DJ, Dickie M, Warbington C, Schieck J, Herdman E, Serrouya R, Boutin S. Applying and testing a novel method to estimate animal density from motion‐triggered cameras. Ecosphere 2022. [DOI: 10.1002/ecs2.4005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Affiliation(s)
- Marcus Becker
- Alberta Biodiversity Monitoring Institute University of Alberta Edmonton Alberta Canada
| | | | - Melanie Dickie
- Alberta Biodiversity Monitoring Institute University of Alberta Edmonton Alberta Canada
- Department of Biology University of British Columbia Kelowna British Columbia Canada
| | - Camille Warbington
- Alberta Biodiversity Monitoring Institute University of Alberta Edmonton Alberta Canada
| | - Jim Schieck
- Alberta Biodiversity Monitoring Institute University of Alberta Edmonton Alberta Canada
| | | | - Robert Serrouya
- Alberta Biodiversity Monitoring Institute University of Alberta Edmonton Alberta Canada
| | - Stan Boutin
- Department of Biological Sciences University of Alberta Edmonton Alberta Canada
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7
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Christensen SA, Farr MT, Williams DM. Assessment and novel application of
N
‐mixture models for aerial surveys of wildlife. Ecosphere 2021. [DOI: 10.1002/ecs2.3725] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Affiliation(s)
- Sonja A. Christensen
- Department of Fisheries and Wildlife Boone and Crockett Quantitative Wildlife Center Michigan State University East Lansing Michigan 48824 USA
| | - Matthew T. Farr
- Department of Integrated Biology Ecology, Evolutionary Biology, and Behavior Program Michigan State University East Lansing Michigan 48824 USA
| | - David M. Williams
- Department of Fisheries and Wildlife Boone and Crockett Quantitative Wildlife Center Michigan State University East Lansing Michigan 48824 USA
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8
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Crum NJ, Neyman LC, Gowan TA. Abundance estimation for line transect sampling: A comparison of distance sampling and spatial capture-recapture models. PLoS One 2021; 16:e0252231. [PMID: 34048456 PMCID: PMC8162584 DOI: 10.1371/journal.pone.0252231] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 05/11/2021] [Indexed: 11/18/2022] Open
Abstract
Accurate and precise abundance estimation is vital for informed wildlife conservation and management decision-making. Line transect surveys are a common sampling approach for abundance estimation. Distance sampling is often used to estimate abundance from line transect survey data; however, search encounter spatial capture-recapture can also be used when individuals in the population of interest are identifiable. The search encounter spatial capture-recapture model has rarely been applied, and its performance has not been compared to that of distance sampling. We analyzed simulated datasets to compare the performance of distance sampling and spatial capture-recapture abundance estimators. Additionally, we estimated the abundance of North Atlantic right whales in the southeastern United States with two formulations of each model and compared the estimates. Spatial capture-recapture abundance estimates had lower root mean squared error than distance sampling estimates. Spatial capture-recapture 95% credible intervals for abundance had nominal coverage, i.e., contained the simulating value for abundance in 95% of simulations, whereas distance sampling credible intervals had below nominal coverage. Moreover, North Atlantic right whale abundance estimates from distance sampling models were more sensitive to model specification compared to spatial capture-recapture estimates. When estimating abundance from line transect data, researchers should consider using search encounter spatial capture-recapture when individuals in the population of interest are identifiable, when line transects are surveyed over multiple occasions, when there is imperfect detection of individuals located on the line transect, and when it is safe to assume the population of interest is closed demographically. When line transects are surveyed over multiple occasions, researchers should be aware that individual space use may induce spatial autocorrelation in counts across transects. This is not accounted for in common distance sampling estimators and leads to overly precise abundance estimates.
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Affiliation(s)
- Nathan J. Crum
- Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission, St Petersburg, Florida, United States of America
| | - Lisa C. Neyman
- Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission, St Petersburg, Florida, United States of America
| | - Timothy A. Gowan
- Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission, St Petersburg, Florida, United States of America
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Bergman EJ, Hayes FP, Lukacs PM, Bishop CJ. Moose calf detection probabilities: quantification and evaluation of a ground-based survey technique. WILDLIFE BIOLOGY 2020. [DOI: 10.2981/wlb.00599] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Eric J. Bergman
- E. J. Bergman (https://orcid.org/0000-0003-4298-0732) ✉ , Mammals Research Group, Colorado Parks andWildlife, Fort Collins, CO 80526, USA
| | - Forest P. Hayes
- F. P. Hayes, P. M. Lukacs and C. J. Bishop, Wildlife Biology Program, Dept of Ecosystem and Conservation Sciences, W.A. Franke College of Forestry and Conservation, Univ. of Montana, Missoula, MT, USA
| | - Paul M. Lukacs
- F. P. Hayes, P. M. Lukacs and C. J. Bishop, Wildlife Biology Program, Dept of Ecosystem and Conservation Sciences, W.A. Franke College of Forestry and Conservation, Univ. of Montana, Missoula, MT, USA
| | - Chad J. Bishop
- F. P. Hayes, P. M. Lukacs and C. J. Bishop, Wildlife Biology Program, Dept of Ecosystem and Conservation Sciences, W.A. Franke College of Forestry and Conservation, Univ. of Montana, Missoula, MT, USA
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Melin M, Matala J, Pusenius J, Packalen T. Calving and post-calving habitat use of female moose in two contrasting landscapes. WILDLIFE BIOLOGY 2019. [DOI: 10.2981/wlb.00569] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Markus Melin
- M. Melin (https://orcid.org/0000-0001-7290-9203) ✉
| | - Juho Matala
- J. Matala, J. Pusenius and T. Packalen, Natural Resources Institute Finland. Yliopistokatu 6b, FI-80100 Joensuu, Finland
| | - Jyrki Pusenius
- J. Matala, J. Pusenius and T. Packalen, Natural Resources Institute Finland. Yliopistokatu 6b, FI-80100 Joensuu, Finland
| | - Tuula Packalen
- J. Matala, J. Pusenius and T. Packalen, Natural Resources Institute Finland. Yliopistokatu 6b, FI-80100 Joensuu, Finland
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11
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Using natural marks in a spatially explicit capture-recapture framework to estimate preliminary population density of cryptic endangered wild cattle in Borneo. Glob Ecol Conserv 2019. [DOI: 10.1016/j.gecco.2019.e00748] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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